SOTAVerified

Computational Efficiency

Methods and optimizations to reduce the computational resources (e.g., time, memory, or power) needed for training and inference in models. This involves techniques that streamline processing, optimize algorithms, or leverage hardware to enhance performance without compromising accuracy.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3751–3775 of 4891 papers

TitleStatusHype
Characteristic Neural Ordinary Differential Equations—0
SpeechMoE2: Mixture-of-Experts Model with Improved Routing—0
Cycle Consistent Probability Divergences Across Different Spaces—0
Dynamic-TinyBERT: Boost TinyBERT's Inference Efficiency by Dynamic Sequence Length—0
Using Convolutional Neural Networks to Detect Compression Algorithms—0
All Birds with One Stone: Multi-task Learning for Inference with One Forward Pass—0
A Multi-Document Coverage Reward for RELAXed Multi-Document Summarization—0
Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the Research Manifold—0
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and ClusteringCode0
Uncertainty quantification and inverse modeling for subsurface flow in 3D heterogeneous formations using a theory-guided convolutional encoder-decoder network—0
MC-CIM: Compute-in-Memory with Monte-Carlo Dropouts for Bayesian Edge Intelligence—0
Observation Error Covariance Specification in Dynamical Systems for Data assimilation using Recurrent Neural Networks—0
Offline Contextual Bandits for Wireless Network Optimization—0
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers—0
AI challenges for predicting the impact of mutations on protein stability—0
Statistical and Computational Efficiency for Smooth Tensor Estimation with Unknown Permutations—0
Trajectory PHD and CPHD Filters with Unknown Detection Profile—0
Dual Parameterization of Sparse Variational Gaussian ProcessesCode0
Leveraging Advantages of Interactive and Non-Interactive Models for Vector-Based Cross-Lingual Information Retrieval—0
Conformal testing: binary case with Markov alternatives—0
Off-Policy Correction for Deep Deterministic Policy Gradient Algorithms via Batch Prioritized Experience Replay—0
Low Resource Quadratic Forms for Knowledge Graph Embeddings—0
Unseen Entity Handling in Complex Question Answering over Knowledge Base via Language Generation—0
NIDA-CLIFGAN: Natural Infrastructure Damage Assessment through Efficient Classification Combining Contrastive Learning, Information Fusion and Generative Adversarial Networks—0
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified